Title :
Frequency channel assignment using artificial neural networks
Author_Institution :
British Telecom Res. Labs., Ipswich, UK
Abstract :
When planning a cellular radio network, the operator must assign frequencies or channels to each radio base station so that the probability of a given carrier to interference ratio exceeding a predefined value is sufficiently high. If the electromagnetic propagation characteristics and the spatial density of the communication traffic are known, this assignment can be reduced to an optimisation problem which is subject to interference compatibility and traffic demand constraints. The work presented investigates the problem of determining the appropriate parameters within the neural network and thus assess the feasibility of using current neural network techniques to the channel assignment problem
Keywords :
cellular radio; neural nets; radio networks; artificial neural networks; carrier to interference ratio; cellular radio network; communication traffic; electromagnetic propagation characteristics; frequency channel assignment; interference compatibility; optimisation problem; radio base station; spatial density; traffic demand constraints;
Conference_Titel :
Antennas and Propagation, 1993., Eighth International Conference on
Conference_Location :
Edinburgh
Print_ISBN :
0-85296-572-9